ja-en-JESC-v2.0

Prgrg/ja-en-JESC-v2.0

ja-en-JESC-v2.0 is a machine learning model from Prgrg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: marian
Access: Public
Created: Mar 13, 2023
Updated: Mar 13, 2023
SHA: 624f4240

Model card

From the Hugging Face model README

Prgrg/ja-en-JESC-v2.0

This model is a fine-tuned version of Prgrg/ja-en-JESC-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.5171
Validation Loss: 2.6483
Epoch: 3

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 100000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
3.0224	2.9691	0
2.8659	2.8108	1
2.6745	2.6999	2
2.5171	2.6483	3

Framework versions

Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: marian
License: apache-2.0
Created: Mar 13, 2023
Updated: Mar 13, 2023